Expand / Collapse
Use the 
- and 
-icon left of the headlines to open and close the different sections of the content area.
The 
- and 
-icon open / close all sections at once.
Tooltips
Explanatory notes are shown when the mouse cursor is moved over the field headlines.
myMetadataBox
The myMetadata Box collects variables which can be used in the functions of the work with myMetadata section.
Add variables
via drag & drop into the box in the top right corner or by clicking the 
-icon which appears when you hover over the variables name or headline.
Add variable lists
On pages displaying variable lists you can add complete lists of variables as well by using the 
-icon which is placed next to the headline.
Remove a selected variable
with the 
-icon which appears on the right when hovering the variable in the list.
Study: EU-SILC 2015
Titles
| Title | European Union Statistics on Income and Living Conditions 2015 |
|---|
Abstract
EU-SILC 2015 contains the 2015 module on social and cultural participation and material deprivation.
Coverage
Geographical Coverage
EU-28 member states and Iceland, Turkey, Norway and Switzerland. Test implementation: Montenegro, the former Yugoslav Republic of Macedonia (FYROM) and Serbia. (Eurostat: METHODOLOGICAL GUIDELINES AND DESCRIPTION OF EU-SILC TARGET VARIABLES. 2015 operation (Version August 2016), p. 17).
Time Period Covered
Reference period for core variables: current, constant, at selection, income reference period, usual week, last 4 weeks, last 12 months, since last year, working life, childcare reference period.
DOIs
| cross-sec: | https://doi.org/10.2907/EUSILC2004-2019V.1 |
|---|---|
| panel: | https://doi.org/10.2907/EUSILC2004-2018V.1 |
References
Country Specific Information: EU-SILC 2015
-
LV - Latvia
National Reference
Producer
Central Statistical Bureau of Latvia
Universe
Persons living in private households within national territory
Sampling Procedure
Sampling Design
- Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Area units
Secondary Sampling Units
Dwellings
Stratification Criteria
"The stratification was made depending on the type of municipality (Riga, cities, towns, rural areas). The Classification of Administrative Territories and Territorial Units (CATTU) of Latvia was used for stratification." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LV, p. 5.)
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
03-2015
End Date
07-2015
Type Of Data Source
Register,Survey
Interview Mode
- 65.1 % CAPI
- 32.3 % CATI
- 2.6 % PAPI
Percentage Of Proxy Interviews
21.4 %
Weighting
Weighting: Method
See Eurostat: National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LV, Annex 7.
References
-
LU - Luxembourg
National Reference
Producer
STATEC, Institut national de la statistique et des études économiques du Grand-Duché du Luxembourg;
LISER, Luxembourg Institute of Socio-Economic Research, formerly CEPS/INSTEAD, Centre d'Etudes de Populations, de Pauvreté et de Politiques Socio-économiquesSampling Procedure
Sampling Design
- Probability
- random
- stratified
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Sampling Method
Luxembourg uses a pure panel with a new sample each year.
Panel Design
Data Collection
Start Date
-
End Date
-
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
22 %
Weighting
References
-
LT - Lithuania
National Reference
Producer
Statistics Lithuania
Universe
"The target population of EU-SILC is all persons living in private households within the national territory of Lithuania at the time of data collection. Collective households and institutions
are excluded from the target population."Sampling Procedure
Source Of Sampling Frame
Residents’ Register.
Sampling Design
- Probability
- random
- stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Stratification Criteria
While selecting the new rotational group of the sample the country were grouped into 25 strata: 5 largest cities, other cities and rural area. Simple random sample of non–institutional persons aged 16 and over was selected from the Population Register in each stratum.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
03-2015
End Date
07-2015
Type Of Data Source
Register,Survey
Interview Mode
- 11.4 % CAPI
- 46.7 % CATI
- 39.4 % PAPI
- 0.6 % Self-administered
- 1.9 % Websurvey
Percentage Of Proxy Interviews
25.1 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
To estimate household response probability logistic regression model are used. Response bias is estimated for responding and non-responding households.
Coverage Adjustment Weight: Method
Modified design weights are calibrated, seeking for the weights, which would remain as close as possible to sample design weights and allow obtaining some exact demographic estimates. Auxiliary variables: number of persons aged 0 and older (including newborn children) by different strata; number of persons by different age groups; number of males by different age groups.
References
-
HR - Croatia
National Reference
Producer
Croatian Bureau of Statistics
Universe
"All private households and their current members residing in the territory of Croatia at the time of data collection. Persons living in collective households and in institutions are excluded from the target population." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HR, p. 9.)
Sampling Procedure
Source Of Sampling Frame
2011 Census data
Sampling Design
- Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Area units
Secondary Sampling Units
Dwellings
Stratification Criteria
The sampling frame of segments for the first stage is divided into 8 strata. 6 strata are defined by 3 groups of countiees (NUTS-3) and the types of municipality. The type of municipality can be city or municipality. Separate 2 strata are Grad Zagreb county and city of Rijeka and city of Split together. In Croatia there are two statistical regions (NUTS-2). (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HR, p. 2.)
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
-
End Date
-
Type Of Data Source
Survey
Interview Mode
- 100 % CATI
Percentage Of Proxy Interviews
38.7 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
"The design weight of responded households is modified by a factor inversely proportional to the weighted response rate within a group of counties ("homogeneous group")." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HR, p. 3-4.)
Coverage Adjustment Weight: Method
Both household and individual external information used in a single-shot calibration at household level. The new weights were calibrated on the number of private households in household size groups by regions / groups of counties, and the number of persons in gender–age groups by regions / groups of counties. External data taken from Population estimates of Republic of Croatia 2014 released by the CBS. (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HR, p. 4.)
References
-
RO - Romania
National Reference
Corresponding National Study
Romanian Survey on Income and Living Conditions ("Quality of Life Survey")
Producer
National Institute of Statistics of Romania
Universe
"The reference population is all private households and their current members residing in the territory of the Romania at the time of data collection. Persons living in collective households and in institutions are
excluded from the target population." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), RO, p. 16.)Sampling Procedure
Source Of Sampling Frame
Multifunctional Sample of Territorial Areas (EMZOT)
Sampling Design
- Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Dwellings
Stratification Criteria
"Stratification concerns only the first stage sampling. There are 88 strata, the criteria used being the area where a certain PSU is located (urban or rural area) and county (NUTS 3 level)." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), RO, p. 3.)
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
05-2015
End Date
05-2015
Type Of Data Source
Survey
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
"The non-response are not globally adjusted, at the entire sample level, but separately-at wave level, on groups of households, groups generated by the variables considered as explicative of the non response. For wave 1 as explicative variables for non-response region (NUTS II level) and area of residence (urban / rural) ar eused and for the second, third and fourth wave - the region." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), RO, p. 9.)
Coverage Adjustment Weight: Method
The calibration is performed at the household level using the household variables and individual variables in their aggregate form as calibration variables. Adjustments were made using the SAS macro CALMAR. Calibration variables were: distribution of the population by age group, area of residence and gender using Romanian Population Estimates at the end of the income reference period and households totals by region. (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), RO, p. 9.)
References
-
NO - Norway
National Reference
Producer
Statistics Norway
Universe
Persons aged 16 years or more at December 31 N-1 who are living outside an institution.
Sampling Procedure
Source Of Sampling Frame
Central population register (BEREG)
Sampling Design
- Probability
- random
- stratified
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
Stratification Criteria
"The new rotational groups are drawn as the proportion p of the population 16 years and over. In addition, each existing rotational group is then supplemented with new 16 year olds and new immigrants to ensure representativity. The sample is drawn from the population register, and this register is arranged to ensure geographical representativity. This is done by municipality and postal codes. The register is arranged by family number and personal code within the family before the actual selection of units." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NO, p. 3.)
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
-
End Date
-
Interview Mode
- 0.1 % CAPI
- 99.9 % CATI
Weighting
Weighting: Method
See Eurostat: National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NO, Annex 4.
References
-
HU - Hungary
National Reference
Producer
Hungarian Central Statistical Office
Universe
Private households living in the territory of Hungary
Sampling Procedure
Source Of Sampling Frame
List of occupied dwelling units in census 2011 dataset
Sampling Design
- Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Localities
Secondary Sampling Units
Households
Stratification Criteria
"At stage 1 the population of localities is stratified. Each of the larger localities is a stratum of its own. These are the self-representing localities, the number of which is 91. Smaller localities are stratified by NUTS3 regions and the size of locality. At stage 2 the households are stratified by the charachteristic of the head of household within each locality." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HU, p. 2.)
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
03-2015
End Date
05-2015
Type Of Data Source
Survey
Interview Mode
- 98.5 % CAPI
- 1.5 % Websurvey
Percentage Of Proxy Interviews
9.5 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
"In the new rotational group non-response weights were introduced to reduce bias caused by unit non-response on household level. Non-response adjustment was a simple expansion applied by the same classes as design factors were calculated by." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HU, p. 4.)
Coverage Adjustment Weight: Method
The aim of this adjustment was to improve the accuracy of data using socio-economical information available from the constantly updated Census 2011 and other surveys. Iterative raking scale methods were applied. For the integrative calibration population totals are used. Calibration was carried out with a self made SAS program. Calibration was carried out in each rotational group. (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HU, p. 4.)
References
-
FR - France
National Reference
Producer
INSEE - National Institute for Statistics and Economic Studies
Universe
All private households and their current members residing in the territory of France at the time of data collection.
Sampling Procedure
Source Of Sampling Frame
Statistiques sur les Ressources et Conditions de Vie (SRCV)
Sampling Design
Primary Sampling Units
Municipality
Secondary Sampling Units
Dwellings
Panel Design
Number Of Rotational Groups
9
Data Collection
Start Date
-
End Date
-
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
25.1 %
Weighting
References
-
BG - Bulgaria
National Reference
Producer
National Statistical Institute
Universe
"The data base includes all private households and their current members residing in the country. Persons living in collective households and in institutions are excluded from the target population." (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BG, p. 2.)
Sampling Procedure
Sampling Design
- Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Households
Stratification Criteria
"The sample is stratified by administrative-territorial districts in the country (NUTS3) and the household's location. As a result 56 strata are formed." (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BG, p. 3.)
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
03-2015
End Date
05-2015
Type Of Data Source
Survey
Interview Mode
- 7.8 % CAPI
- 92.2 % PAPI
Percentage Of Proxy Interviews
22 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
"Correction for non-response at the first year of subsamples R1 was done with Weighting within classes procedures: The design weights were modified by a factor inversely proportional to the response rate within strata. Coefficients of these corrections were computed separately according to classes of locality as ratios: the sum of design weights of selected units to the sum of design weights of responding units. The response probability for the households at wave 1, 2, 3 is obtained by a logistic regression model. The model is applied for each rotational group separately. The following variables were used in the model: NUTS2, size of household, sex, age group, activity, educational level, income, tenure status, poverty indicators." (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BG, p. 4.)
Coverage Adjustment Weight: Method
"The final weights were obtained applying the integrated calibration method. Combining the four independent subsamples, calibration is done on individual-level data, imposing equality of g-weights for individuals in the same household. Truncated linear function are used in order to limit g-weights close enough to 1. External information about the distribution of the population by administrative-territorial districts (NUTS 3) and residence and about the distribution of the population by age groups, sex and residence was used. This information was derived from the Information System Demography (ISD). Calibration was carried out with a SAS Macro CALMAR 2 (designed by INSEE)." (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BG, p. 4-5.)
References
-
BE - Belgium
National Reference
Producer
Statistics Belgium
Universe
The reference population is all citizens living officially living at Belgian territory (population de jure).
Sampling Procedure
Source Of Sampling Frame
Central Population Register
Sampling Design
- Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Municipality
Secondary Sampling Units
Households
Stratification Criteria
"The main stratification criterion is the NUTS2 level. The 11 sampling strata are the 10 Belgian provinces (5 in Flanders – coded BE21- E25 – and 5 in Wallonia – coded BE31 to BE35) and the Brussels Capital Region (BE10).Further implicit stratification is obtained by sorting PSUs (sub-municipalities) on mean income and sorting SSUs (households) in selected PSUs on age of reference person." (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BE, p. 3.)
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
-
End Date
-
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
9.3 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
A logistic regression model was used to correct for non-response. The file was split by NUTS1 and the variables household size and region were used.
References
-
DE - Germany
National Reference
Corresponding National Study
Leben in Europa
Producer
Statistisches Bundesamt
Universe
"The sampling population for the whole sample comprises private households in their main residences." (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), DE.)
Sampling Procedure
Source Of Sampling Frame
Access panel (DSP) containing former participants of the microcensus
Sampling Design
- Probability
- stratified
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Stratification Criteria
Stratification and sub stratification criteria: Land (federal state), Household type, Social status of the main income earner, Household net income, Farm household (separate stratum for each federal state) (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), DE.)
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
-
End Date
-
Type Of Data Source
Survey
Interview Mode
- 100 % Self-administered
Percentage Of Proxy Interviews
19.1 %
Weighting
Non-response Weight: Method
"The basis for the sampling of the random sub samples is the access panel DSP. The structure of the DSP was considered in the weighting procedure." (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), DE.)
Coverage Adjustment Weight: Method
"The marginal distribution of the micro census was used for the adaptation process. For the household weight (DB090) (and as such automatically for the individual weight of the total population: RB050) we used the marginal distribution of the following characteristics:
- monthly household net income
- household type
- household size
- age
- sex
Since 2008, the characteristic ‘monthly household net income’ does not contain anymore an extra category ‘farmer households’. Farmer households were subdivided into other categories of this characteristic. Since 2010, the age group ‘65 years or over’ is differentiated into the category ‘from 65 to 69 years’ and ’70 years or over’. For the personal weight PB040 (population ’16 years or over’) we used the marginal distribution of the following characteristics:
- sex
- family status
- age
- social status
- education level (low/medium, high)
- household type.
Since 2009, the categories ‘low’ and ‘medium’ of the characteristic ‘education level’ were grouped into one group in order to improve the weighting result." (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), DE.)References
-
DK - Denmark
National Reference
Producer
Statistics Denmark
Universe
People residing in private households residing in Denmark at the time of the interview.
Sampling Procedure
Source Of Sampling Frame
Central Population Register (CPR)
Sampling Design
- Probability
- multi-stage
Primary Sampling Units
Addresses
Secondary Sampling Units
Individuals
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
-
End Date
-
Type Of Data Source
Register,Survey
Interview Mode
- 28.8 % CATI
- 3.5 % Self-administered
- 67.7 % Websurvey
Percentage Of Proxy Interviews
6.6 %
Weighting
Design Weight: Target
Household
Non-response Weight: Method
Calibration using external data
Coverage Adjustment Weight: Method
"All external data are based on variables in administrative registers. Exactly the same variables are found in the sampled households. The following external variables have been used: Equivalised disposable income, size of the household, education level of the person with the highest professional status in the household and socio-economic status of main income holder in the household.
In addition to correcting for bias due to non-response on the household level, the SILC cross-sectional weights should reproduce certain demographic and poverty distributions on the personal level. Therefore some data on the personal level have been integrated in the calibration, that risk of poverty, age, sex, poverty, family type, education, income mass and income groups." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), DK, p. 3.)References
-
FI - Finland
National Reference
Producer
Statistics Finland
Universe
"Members of the private households permanently resident (the census definition) in Finland on 31 December 2014. For migrants in particular, permanent residency means that the persons have resided or intend to reside for at least 12 months and they have not a permanent recidence abroad. Persons living in institutions, in collective households or in residential homes have been excluded." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), FI, p. 15.)
Sampling Procedure
Source Of Sampling Frame
The Population Information System maintained by the Population Register Centre of Finland
Sampling Design
- Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Dwellings
Stratification Criteria
"Strata contain socio-economic groups grouped by income class (12 strata in the new sample). The register information used for strata construction is about all members of the selected sample person's household-dwelling unit available at the time of sample selection (updated by the final population register data later). Strata are created only for those who do not belong to the over-coverage." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), FI, p. 3.)
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
01-2015
End Date
04-2015
Type Of Data Source
Register,Survey
Interview Mode
- 2.2 % CAPI
- 97.8 % CATI
Percentage Of Proxy Interviews
10.2 %
Weighting
Weighting: Method
See Eurostat: National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), FI, Annex 7,
References
-
IE - Ireland
National Reference
Producer
Central Statistics Office (CSO)
Universe
Persons aged 16 years and over living in private households
Sampling Procedure
Sampling Design
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
-
End Date
-
Type Of Data Source
Register,Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
28.8 %
Weighting
References
-
AT - Austria
National Reference
Producer
Statistics Austria
Universe
"All private households and their current members residing in the territory of Austria at the time of data collection. Persons living in collective households and in institutions are generally excluded from the target population." (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), AT, p. 6.)
Sampling Procedure
Source Of Sampling Frame
Central registration register ZMR (Zentrales Melderegister), a constantly updated population register based on the register of residence.
Sampling Design
- Probability
- stratified
- one stage
Primary Sampling Units
Dwellings
Secondary Sampling Units
Not used
Stratification Criteria
The sample of the first wave was stratified according to 205 interviewer units (Sprengel). These are regional divisions of federal territory which may be approximately combined to Austrian provinces (NUTS 2 units). (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), AT, p. 2.)
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
02-2015
End Date
09-2015
Type Of Data Source
Survey
Interview Mode
- 60.5 % CAPI
- 39.5 % CATI
Percentage Of Proxy Interviews
11.4 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
For the estimation of weights a logistic regression model was set up to estimate the response probabilitiesof each household with explanatory variables known prior to survey data based on the questionnaire. Among these are data from the sampling frame, register data linked to the gross sample or data surveyed by the interviewers before contact (e.g. type of building). (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), AT, Annex 6, p. 1.)
Coverage Adjustment Weight: Method
"As a reference data base the average of the quarters 1 to 3 of 2015 of the Microcensus was chosen. The usage of register information on income in the survey of 2015 also lead to changes in the weighting procedure. Additionally data from the main association of Austrian Social Security Institutions (Hauptverband der österreichischen Sozialversicherungsträger) were used to provide an accurate number of people who were receiving unemployment benefits (People who received benefits for more than one month during the income reference period were counted).
The adjustments were carried out on household level and on individual level and were done with reference to the following variables:
Household level: the household size (four categories: 1, 2, 3 household members and households with 4 and more household members), tenure status (two categories: rented flat/house or owned), and region (nine categories: Nuts II level).
Individual level: Sex, age
In addition to these variables adjustments were implemented to achieve coherence in
- the number of foreign citizens (aged 16 and over)
- the number of recipients of unemployment benefits for a duration of more than one month based on data from the main association of Austrian Social Security Institutions
- the number of recipients of income from employment based on wage tax statistics (aged 15 and over)
- the number of recipients of income from pensions based on wage tax statistics" (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), AT, Annex 6, p. 4-5.)References
-
CZ - Czech Republic
National Reference
Producer
Czech Statistical Office
Universe
All persons with usual residence in Czech dwellings (their only place of residence or their main place of residence) were included in the survey.
Sampling Procedure
Source Of Sampling Frame
Register of Census Enumeration Districts (small geographical areas covering the whole territory of the country)
Sampling Design
- Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Dwellings
Stratification Criteria
The sampling of CEUs is stratified by region (NUTS4) and municipality size.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
02-2015
End Date
05-2015
Type Of Data Source
Survey
Interview Mode
- 52.5 % CAPI
- 47.5 % PAPI
Percentage Of Proxy Interviews
27.3 %
Weighting
Design Weight: Method
none
Non-response Weight: Method
"United calibration for all the waves was used as the method for correcting non-response. The achieved sample was re-weighted using the integrated calibration technique (producing the same weights on household and personal level). This technique ensures that the weighted sample structure corresponds to a set of known external population characteristics. The calculations were implemented using the CALMAR software in SAS." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CZ, p. 4.)
Coverage Adjustment Weight: Method
For the adjustments to external data "the following calibration variables were used: Number of inhabited dwellings in each NUTS3 region, subdivided into family houses (detached and semi-detached houses) and flats, based on the 2001 Census and 2011 Census continuously updated from administrative sources of construction authorities and Population characteristics (population totals in each NUTS3 region, economic activity in each NUTS3 region, demographic characteristics at the national level)." National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CZ, p. 4.)
References
-
CY - Cyprus
National Reference
Producer
Statistical Service of Cyprus - (CYSTAT)
Universe
"All the households and their members living in the areas under the effective control of the government of the Republic of Cyprus. Population in collective households and institutions is excluded." (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CY, p. 7.)
Sampling Procedure
Source Of Sampling Frame
For 2015, the list of households from the 2011 Census of Population was used as sampling frame with a supplementary list of newly constructed houses (build after 2011 up to 2014). (Eurostat (2015). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CY, p. 2.)
Sampling Design
- Probability
- random
- stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Stratification Criteria
Geographical stratification criteria were used for the sample selection. The households were stratified in 9 strata based on District (Urban / Rural).
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
02-2015
End Date
05-2015
Type Of Data Source
Register,Survey
Interview Mode
- 84.3 % CAPI
- 15.7 % CATI
Weighting
Weighting: Method
See National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CY, Annex 3.
References
-
SE - Sweden
National Reference
Producer
Statistics Sweden
Universe
The refence population is the whole Swedish population except short term migrants. People who stay in Sweden for no longer than 3-12 months are not covered.
Sampling Procedure
Source Of Sampling Frame
Total Population Register (TPR)
Sampling Design
- Probability
- random
- stratified
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
Stratification Criteria
The sample is stratified by age in eight strata according to age.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
01-2015
End Date
12-2015
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
The adjustment for non-response is done by straight expansion within each poststratum.
References
-
SI - Slovenia
National Reference
Producer
The Statistical office of the Republic of Slovenia
Universe
"The reference population is defined with the persons in the Central Register of Population which are aged 16 years or more. The individuals with Slovenian citizenship as well as foreigners were included in the sampling frame." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SI, p. 20.)
Sampling Procedure
Source Of Sampling Frame
Central Register of Population (CRP)
Sampling Design
- Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Individuals
Stratification Criteria
"The sampling frame of persons aged 16 years or more is divided into 6 strata, which are defined according to the size of the settlement and the proportion of agricultural households in the settlement." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SI, p. 3.)
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
01-2015
End Date
05-2015
Type Of Data Source
Register,Survey
Interview Mode
- 46.8 % CAPI
- 53.2 % CATI
Percentage Of Proxy Interviews
22.7 %
Weighting
Design Weight: Target
Person
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
"The non-response factor was calculated for each stratum. First the sample was divided into three categories: responses, non-responses and out-of-scope units." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SI, p. 9.)
Coverage Adjustment Weight: Method
"By the calibration procedures the weighted sums of some key variables are set to the known population values. These population values are obtained from the different administrative sources. For the calibration of weights we used SAS Macro Calmar. We performed calibration for the level of households, as well as for the level of the persons." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SI, p. 9.)
References
-
SK - Slovakia
National Reference
Producer
The Statistical Office of the Slovak Republic
Universe
Private households
Sampling Procedure
Source Of Sampling Frame
Data set is based only on a survey
Sampling Design
- Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Stratification Criteria
"There are two criteria of area stratification in the sampling design:
- geographical stratification (8 standard administrative regions corresponding to the European NUTS 3 level.).
- degree of urbanization: 7 groups according to population size of municipalities and communes (number of inhabitants in municipalities and communes).
48 final strata were created (variable DB050) by using of those two stratification criteria." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SK, p. 2.)Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
04-2015
End Date
06-2015
Type Of Data Source
Survey
Interview Mode
- 99.9 % PAPI
- 0.1 % Self-administered
Weighting
Design Weight: Target
Household
Non-response Weight: Method
"Dividing households into strata (region and rotational group). Then the empirical value of the response rate within the stratum gives the estimate of the probability of response for each household in the stratum." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SK, p. 3.)
Coverage Adjustment Weight: Method
"Calculation of the households crosssectional weights - has been implemented by system of simple calibration of weights of the households by using of variablesnumber of households by number
of membership in administration regions." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SK, p. 3.)Final Weighting: Method
"The sample was designed as a selfweighting sample. Design factor for all sampled dwellings is equal to 1." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SK, p. 3.)
References
-
IS - Iceland
National Reference
Producer
Statistics Iceland
Universe
People in private households
Sampling Procedure
Source Of Sampling Frame
Iceland population register
Sampling Design
- Probability
- random
- stratified
- one stage
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
-
End Date
-
Type Of Data Source
Register,Survey
Interview Mode
- 100 % CATI
Percentage Of Proxy Interviews
0 %
Weighting
References
-
UK - Great Britain
National Reference
Corresponding National Study
Family Resources Survey
Producer
Office for National Statistics
Universe
The reference population for the Family Resources Survey is all private households in the UK.
Sampling Procedure
Source Of Sampling Frame
for Great Britain: Royal Mail’s small-users Postcode Address File (PAF); for Nothern Irland: POINTER address database
Sampling Design
- Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Postecode sectors
Secondary Sampling Units
Addresses
Stratification Criteria
The PSUs are "stratified by 27 regions on the FRS and 30 regions on the GLF. The PSUs are then sorted by three other variables (different for the two surveys), which provides an implicit stratification:
For the FRS, within each region the postcode sectors are ordered and grouped into eight equal bands using the proportion of households where the household reference person (HRP) is in National Statistics Socio-Economic Classification (NS-SEC) 1 to 3. Within each of these eight bands, the PSUs are ordered by the proportion of economically active adults aged 16-74 and formed into two further bands, resulting in sixteen bands for each region. These are then ordered according to the proportion of economically active males aged 16-74 who are unemployed.
For the GLF, postcode sectors were stratified according to selected indicators taken from the 2001 Census. Sectors were initially ordered according to the proportion of households with no car, then divided into three bands containing approximately the same number of households. Within each band, sectors were re-ordered according to the proportion of households with a household reference person in socio-economic groups 1 to 5 and 13, and these bands were then subdivided into three further bands of approximately equal size. Finally, within each of these bands, sectors were re-ordered according to the proportion of people who were pensioners." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), UK, p. 2.)Sampling Method
"Prior to 2012, all households for cross-sectional and longitudinal EU-SILC originated from the GLF sample. Since 2012, cross-sectional and wave 1 respondents have been selected from the FRS. The FRS in Great Britain is a stratified clustered probability sample design, as was the first wave of the GLF. The FRS in Northern Ireland is a systematic stratified sample design, while for the GLF it was a simple random sample." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), UK, p. 2.)
Panel Design
Data Collection
Start Date
03-2015
End Date
11-2015
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
"There is no correction for individual non-response, because only fully cooperating households are included in the dataset. Household non-response is corrected for in the grossing procedure, which sets grossing factors so that the population estimate is representative of the population in several dimensions." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), UK, p. 5.)
Coverage Adjustment Weight: Method
"The grossing regime for Great Britain aims to calibrate population estimates derived from EU SILC data against seven different variables: Individuals (Age, sex and region), Dependants aged 16-19, Benefit units, Benefit units (Lone Parents), Households (Tenure type), Households (Council Tax Band), Households (Region).
The grossing regime for Northern Ireland is slightly different from that for the rest of the UK: Local taxes in Northern Ireland are collected through the rates system, so Council Tax Band as a control variable is not applicable. Northern Ireland housing data are based largely on small sample surveys. It is not desirabe to introduce the variance of one survey into another by using it to compute control totals; therefore tenure type has not been used as a control variable." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), UK, p. 5.)References
-
IT - Italy
National Reference
Producer
Italian National Institute of Statistics
Universe
All persons living in private households.
Sampling Procedure
Source Of Sampling Frame
Registers of the municipalities
Sampling Design
- Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Municipality
Secondary Sampling Units
Households
Stratification Criteria
"Stratification of primary sampling units by the number of inhabitants so that the total number of inhabitants in each stratum is approximately constant (this guarantees selfweighting design in each region). Municipalities which sizes are higher than a threshold are self-representing units i.e. are strata themselves and included with certainty in the sample of PSU. Secondary sampling units are not stratified." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), IT, p. 2.)
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
10-2015
End Date
12-2015
Type Of Data Source
Survey
Interview Mode
- 72.2 % CAPI
- 27.8 % CATI
Percentage Of Proxy Interviews
33.1 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
"The design weights were adjusted by a correction factor for total non-response worked out as the reciprocal of the response probability identified by the information given on the extracted sample (for the households at wave 1) or gathered from the most recent year of survey (for the households at wave 2, 3, 4)." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), IT, p. 4.)
Coverage Adjustment Weight: Method
"After the non-response adjustments, a further adjustment of design weights has been achieved with a first calibration stage to constrain the sample to the same structure of the Labour Force Survey with regard to the educational and professional condition by sex." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), IT, p. 5.)
References
-
MT - Malta
National Reference
Producer
National Statistics Office Malta
Universe
"All private households and their current members residing in Malta at the time of data collection. Persons living in institutions are excluded from the target
population." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), MT, p. 9.)Sampling Procedure
Source Of Sampling Frame
2011 Census of Population & Housing
Sampling Design
- Probability
- random
- not stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
04-2015
End Date
09-2015
Type Of Data Source
Survey
Percentage Of Proxy Interviews
21.4 %
Weighting
Weighting: Method
See Eurostat: National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), MT, Annex 5.
References
-
PL - Poland
National Reference
Producer
Central Statistical Office of Poland
Universe
"The survey unit was a household and all the household members who have reached the age of 16 years by December 31, 2014.
The survey did not cover collective accomodation households." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), PL, p. 12.)Sampling Procedure
Source Of Sampling Frame
TERYT system
Sampling Design
- Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Dwellings
Stratification Criteria
"The strata were the voivodships (NUTS2) and within the voivodships primary sampling units were classified by class of locality. In urban areas census areas were grouped by size of town. Big cities formed independent strata, but in the five largest cities districts were treated as strata. In rural areas strata were represented by rural gminas (NUTS5) of a subregion (NUTS3) or of a few neighbouring powiats (NUTS4). Altogether, 250 strata were distinguished." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), PL, p. 3.)
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
05-2015
End Date
07-2015
Type Of Data Source
Survey
Weighting
Design Weight: Target
Dwelling
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
Weights were adjusted with the use of household non-response rates estimated for each class of locality separately.
Coverage Adjustment Weight: Method
"With the use of the integrated calibration method weights were calculated for individuals and for households simultaneously. The following information about households was used: 4 size categories [...] and number of persons by age and gender. The data at the level of NUTS2, additionally classified by urban/rural areas, were derived from the 2011 Census and current demographic estimates." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), PL, p. 4.)
References
-
PT - Portugal
National Reference
Corresponding National Study
ICOR (Income and living Conditions)
Producer
Statistics Portugal
Universe
All private households and their current members living in Portugal (Mainland, Açores and Madeira).
Sampling Procedure
Sampling Design
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
-
End Date
-
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
34.3 %
Weighting
References
-
RS - Serbia
National Reference
Producer
Central Statistics Office (CSO)
Universe
Persons aged 16 years and over living in private households
Sampling Procedure
Sampling Design
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
-
End Date
-
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
19.1 %
Weighting
References
-
CH - Switzerland
National Reference
Sampling Procedure
Sampling Design
Panel Design
Data Collection
Start Date
-
End Date
-
Weighting
References
-
ES - Spain
National Reference
Producer
National Statistics Institute (INE-Spain)
Universe
"The target population was members of private households residing at main family addresses, and the households themselves." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), ES, p. 7.)
Sampling Procedure
Source Of Sampling Frame
Municipal Register
Sampling Design
- Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Addresses
Stratification Criteria
"In each Autonomous Community [self-ruling region], first-stage units were stratified by the size of the municipality to which the census section belonged." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), ES, p. 2.)
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
03-2015
End Date
07-2015
Type Of Data Source
Survey
Interview Mode
- 80.1 % CAPI
- 19.9 % CATI
Percentage Of Proxy Interviews
28.1 %
Weighting
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
Adjustment for non-response is carried out by multiplying a certain factor to provide an estimate of the inverse probability of response in the stratum.
Coverage Adjustment Weight: Method
The factor is weighted to adjust estimated distribution to the population distribution by Autonomous Community, age group and gender provided by the Demographic Projections Unit.
References
-
NL - Netherlands
National Reference
Producer
Statistics Netherlands
Universe
"The reference population of EU-SILC is all private households and their current members residing in the Netherlands at the time of data collection. The West Frisian Islands with the exception of Texel were excluded from the target population. This is also true for persons living in collective households and in institutions." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NL, p. 6.)
Sampling Procedure
Source Of Sampling Frame
Dutch municipality administration (Gemeentelijke Basisadministratie or GBA)
Sampling Design
- Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Municipality
Secondary Sampling Units
Addresses
Stratification Criteria
"The stratification variables used in this design are the 40 COROP-regions (NUTS3). These are regional areas within the Netherlands and are used for analytical purposes by, among others, Statistics Netherlands." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NL, p. 2.)
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
06-2015
End Date
10-2015
Type Of Data Source
Register,Survey
Interview Mode
- 100 % CATI
Percentage Of Proxy Interviews
1.6 %
Weighting
Weighting: Method
See Eurostat: National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NL, Annex 4.
References
-
EE - Estonia
National Reference
Producer
Statistics Estonia
Universe
"Households whose usual place of residence is in Estonia, and the members of these households, excluding persons living in institutions." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), EE, p. 2.)
Sampling Procedure
Source Of Sampling Frame
Sampling frame for selection of new part of the sample is Statistical Population Register of Estonia.
Sampling Design
- Probability
- systematic
- stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Stratification Criteria
Geographical stratification was used. The counties (and capital Tallinn) were grouped into three strata by the population size.
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
02-2015
End Date
06-2015
Type Of Data Source
Survey
Interview Mode
- 94.2 % CAPI
- 5.8 % CATI
Percentage Of Proxy Interviews
27.9 %
Weighting
Weighting: Method
See Eurostat: National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), EE, Annex 2.
References
-
EL - Greece
National Reference
Producer
Hellenic Statistical Authority
Universe
The reference population is all citizens officially living at Greek territory (population de facto).
Sampling Procedure
Sampling Design
- Probability
Panel Design
Number Of Rotational Groups
4
Data Collection
Start Date
-
End Date
-
Type Of Data Source
Survey
Interview Mode
- 2.6 % CATI
- 97.1 % PAPI
- 0.3 % Self-administered
Percentage Of Proxy Interviews
2.9 %
Weighting
References